Artificial intelligence is the future in which we live today.
We help develop innovations for all types of businesses supported by the most advanced systems such as Natural language processing (NLP), Machine Learning, chatbot and many more.
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50%
Artificial intelligence is a powerful tool for generating value for you company and COVID-19 pandemic further accelerated digitalization in businesses.
Business functions where it is most common to implement the AI technology are service operations, product or service development, marketing and sales.
Did you know?
50%
of participants in a McKinsey survey said that their companies adopted AI in at least one function within the organization.
So where exactly can you implement AI?
Artificial intelligence is a powerful tool for generating value for you company and COVID-19 pandemic further accelerated digitalization in businesses.
Business functions where it is most common to implement the AI technology are service operations, product or service development, marketing and sales.
Within these functions, here are some examples in which AI can do wonders for your business:
Within these functions, here are some examples in which AI can do wonders for your business:
Sales
Forecast sales and demand volume so you can provide a better-quality service every time.
Analysis
Analyze customer service results to improve customer satisfaction.
Promotion
Learn more about your audience and promote your business when and where it matters the most.
Management
Improve inventory management to reduce costs and save valuable time.
How is AI able to do all this?
Machine learning is a type of AI that uses data to predict outcomes with help of software applications more accurate than ever before. It can make automated conclusions based on data collection, data analysis, and additional audience or economic trends observations. Image and speech recognition are well-known examples in the real world.
Just like humans do, AI uses deep learning to gain certain types of knowledge. This type of machine learning is highly complex as it is able to make conclusions from raw input without any human help. Some examples of it are face recognition and driverless cars.
All these functions of AI enable it to be more accurate and faster in doing repetitive, detail-oriented tasks.
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